Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia

Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ventricular fibrillation (VF) in AED shock decision algorithms. Recently, dee...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:PLoS One
Päätekijät: Picon, Artzai, Irusta, Unai, Álvarez-Gila, Aitor, Aramendi, Elisabete, Alonso-Atienza, Felipe, Figuera, Carlos, Ayala, Unai, Garrote, Estibaliz, Wik, Lars, Kramer-Johansen, Jo, Eftestøl, Trygve
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Public Library of Science 2019
Aiheet:
Research Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6527215/
https://ncbi.nlm.nih.gov/pubmed/31107876
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0216756
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